599 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United Kingdom
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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over one or more core research thrusts within the lab’s multi-agent security programme. You should possess a PhD/DPhil completed, (or near completion), in theoretical computer science, information theory
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the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy
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international research partners in Africa and Asia. We leverage our state-of-the-art core facilities (flow cytometry, microscopy, proteomics and structural biology) to address important problems and find
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discussion about the position, please contact Dr Yoshishige Tsuchiya (yt2@ecs.soton.ac.uk ). Equality, diversity and Inclusion is central to the ethos in the School of Electronics and Computer Science. We
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Warwick Business School, The University of Warwick; | Warwick, England | United Kingdom | about 1 month ago
, expertise in AI, and interest in academic research. Applicants should hold (or be about to complete) a PhD or strong master’s degree in Computer Science, Business Analytics, FinTech, Statistics, or a related
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will have access to state-of-the-art facilities including the 14CHRONO Centre and the Institute for Heritage and Environmental Science at QUB. Successful applicants will have responsibilities
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
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political science and human geography to explain how authoritarian ideas, institutions, technologies, and policies spread through the interaction of local, national, and transnational actors. The project